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Cyber Threats Surge in India’s Financial Sector

Fintech News

These advanced impersonations, which use convincing AI-generated audio and video, trick users into revealing multi-factor authentication (MFA) codes or approving unauthorized authentication requests. Common vulnerabilities include poor access controls, the lack of MFA, delayed security patches, and mismanagement of privileged accounts.

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How PCI DSS Compliance Protects Australian Businesses from Data Breaches?

VISTA InfoSec

Source – credit card debt statistics 2025 and Australian debit card statistics ) As digital transactions continue to grow, so do the challenges of protecting sensitive customer data. As cybercriminals continue to evolve their tactics, businesses must prioritize strong cybersecurity measures to mitigate these risks.

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PCI Compliance for Banking Professionals

Fi911

Identify and Authenticate Access to System Components: Use multi-factor authentication (MFA) to strengthen access controls. Enhanced Authentication Strengthened requirements for authentication methods, such as mandatory MFA for all access to cardholder data. Continually assess and refine your systems to address evolving threats.

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Wallet wars: How digital payments are reshaping finance

The Payments Association

However, there are considerable developments in both Europe and North America, with Apple Pay, Google Pay, and PayPal continuing to expand, with increasing merchant acceptance. Adopt multi-factor authentication (MFA) and biometric verification to reduce fraud risks.

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SNEAK PEAK: Unveiled: 2024 Key Financial Crime 360 findings

The Payments Association

Continued investment in innovative fraud detection technologies and adaptive regulatory frameworks is essential to stay ahead of evolving financial crime threats. APP and identity fraud challenges persist, and bad actors are continually deploying more sophisticated methods to dupe and exploit firms.

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Navigating the rise of AI-enabled fraud

The Payments Association

Fraudsters are continuously finding new sophisticated ways of leveraging AI to carry out cyber threats, with traditional fraud prevention methods, which rely on fixed rules and human intervention, being no longer sufficient to detect and mitigate the complex and evolving tactics used by fraudsters. keystroke dynamics or mouse movements).

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Runa Introduces Runa Assure: Proactive Security for Payout Protection

Fintech Finance

Key security features include: Advanced Machine Learning Fraud Detection: Prevent unauthorized access with IP Allowlisting & Multi-Factor Authentication (MFA), and monitor suspicious activity with user behavior analytics. Web Application Firewalls (WAF) monitor traffic continually.